├── .gitignore ├── EvadeML-Zoo ├── LICENSE ├── README.md ├── Reproduce_FeatureSqueezing.md ├── adv_get_output.py ├── attacks │ ├── README.md │ ├── __init__.py │ ├── adaptive │ │ └── adaptive_adversary.py │ ├── carlini_wrapper.py │ ├── cleverhans_wrapper.py │ ├── deepfool_wrapper.py │ ├── pgd │ │ ├── LICENSE │ │ ├── pgd_attack.py │ │ └── pgd_wrapper.py │ └── tohinz_wrapper.py ├── datasets │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-37.pyc │ │ ├── datasets_utils.cpython-37.pyc │ │ ├── mnist.cpython-37.pyc │ │ └── visualization.cpython-37.pyc │ ├── cifar10.py │ ├── datasets_utils.py │ ├── imagenet.py │ ├── imagenet_dataset │ │ ├── ILSVRC2014_clsloc_validation_ground_truth.txt │ │ ├── caffe_clsloc_validation_ground_truth.txt │ │ └── label_as_filename.py │ ├── mnist.py │ ├── svhn.py │ ├── svhn_dataset │ │ └── download_svhn_data.py │ └── visualization.py ├── detections │ ├── base.py │ ├── feature_squeezing.py │ ├── magnet_cifar.py │ └── magnet_mnist.py ├── downloads │ ├── MagNet │ │ └── defensive_models │ │ │ ├── CIFAR │ │ │ ├── MNIST_I │ │ │ └── MNIST_II │ └── trained_models │ │ ├── CIFAR-10_carlini.keras_weights.h5 │ │ ├── MNIST_carlini.keras_weights.h5 │ │ ├── MNIST_cleverhans.keras_weights.h5 │ │ ├── MNIST_cleverhans_adv_trained.keras_weights.h5 │ │ ├── MNIST_pgdbase.keras_weights.h5 │ │ └── MNIST_pgdtrained.keras_weights.h5 ├── get_output.py ├── main.py ├── models │ ├── README.md │ ├── __pycache__ │ │ ├── __init__.cpython-37.pyc │ │ ├── carlini_models.cpython-37.pyc │ │ └── cleverhans_models.cpython-37.pyc │ ├── carlini_models.py │ ├── cleverhans_models.py │ ├── densenet_models.py │ ├── keras_models │ │ ├── __init__.py │ │ ├── inceptionv3_model.py │ │ ├── keras_models.py │ │ ├── resnet50_model.py │ │ └── vgg19_model.py │ ├── mobilenets_model │ │ ├── __init__.py │ │ └── mobilenets_model.py │ ├── pgdtrained_models.py │ └── tohinz_models.py ├── requirements_cpu.txt ├── requirements_gpu.txt ├── robustness │ ├── __init__.py │ ├── base.py │ ├── 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